iPhone 14 Pro Max
Geekbench AI Score
3524
Single Precision Score
17505
Half Precision Score
19672
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 16 2024 12:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1436
267.1 IPS |
|
|
Image Classification (HP)
|
100% |
10102
1.88 KIPS |
|
|
Image Classification (Q)
|
99% |
10977
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9740
157.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
10235
165.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6756
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
89695
104.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
97731
114.6 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
100% |
12088
958.8 IPS |
|
|
Object Detection (Q)
|
91% |
14458
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
18747
222.8 IPS |
|
|
Face Detection (Q)
|
100% |
30906
367.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6190
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
60368
465.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
67031
518.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18719
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
131199
168.7 IPS |
|
|
Style Transfer (Q)
|
100% |
130565
167.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4169
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31335
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
35233
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2399
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2392
41.3 IPS |
